System and process for matching seniors and staffers with senior living communities
Abstract
A system and method for generating and scoring leads for senior living communities, which collects and processes event and attribute data for seniors, senior living communities and staffers, and presents filtered and scored lists of potential senior residents and potential job applicants to senior living community operators. The matching, filtering and scoring of leads is based on early indicators of imminent senior care need, the communities' demographic and event qualifiers for candidates, the demographic traits of the current populations of the senior living communities, and weights assigned to the demographic qualifiers, event qualifiers and demographic traits by the senior living communities or system operator. Embodiments of the present invention can also be used by senior care seekers and job seekers to identify and score compatible senior care living communities based on demographic qualifiers, event qualifiers and weights provided by the senior care seekers, the job seeker, or system operator.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A process for identifying potential customers for senior living communities using a lead generation system, the process comprising:
a) creating a leads dataset on the lead generating system; b) creating a community dataset on the lead generating system by monitoring a community data source to identify and store a senior care type, a plurality of senior living communities that provide said senior care type, and community demographic attributes associated with the plurality of senior living communities; c) monitoring an early indicator data source to detect an early indicator for the senior care type, a potential customer for the senior care type, and customer demographic attributes for the potential customer; d) on the lead generating system, comparing the customer demographic attributes to the community demographic attributes for a senior living community in the community dataset to establish a match between the potential customer and the senior living community; e) creating a potential customer record in the leads dataset, the potential customer record comprising the customer demographic attributes for the potential customer and the senior care type; f) establishing a data communications link to a display device controlled by the senior living community; and g) transmitting at least a portion of the potential customer record in the leads dataset from the lead generating system to the display device controlled by the senior living community via the data communications link.
2 . The process of claim 1 , wherein the early indicator is detected based on an action of the potential customer.
3 . The process of claim 1 , further comprising:
a) creating a senior dataset on the lead generating system by monitoring a demographic data source to identify and store seniors in a target population, senior demographic attributes associated with said seniors in the target population, and senior events associated with said seniors in the target population; b) on the lead generating system, comparing the customer demographic attributes for the potential customer to the senior demographic attributes for a senior in the senior dataset to establish a second match between the potential customer and the senior in the senior dataset; c) adding the customer demographic attributes to the senior demographic attributes in the senior dataset; and d) adding the second match and the senior demographic attributes for the matched senior in the senior dataset to the potential customer record in the leads dataset.
4 . The process of claim 3 , further comprising:
a) calculating a senior persona score for the potential customer, the senior persona score including a demographic qualifier score; b) receiving from the senior living community, via the data communications link, a demographic qualifier, the demographic qualifier comprising a community-specified value for a senior demographic attribute; c) receiving a demographic qualifier weight assigned to said community-specified value for said senior demographic attribute; d) comparing said community-specified value for said community demographic attribute to a customer value associated with the potential customer for said senior demographic attribute; e) adding the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said senior demographic attribute is equal to the community-specified value for the senior demographic attribute; and f) transmitting the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
5 . The process of claim 1 , further comprising:
a) calculating a senior persona score for the potential customer, the senior persona score including a trait qualifier score; b) receiving from the senior living community, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a community-specified value for the common demographic attribute; c) receiving a trait qualifier weight assigned to said community-specified value for said common demographic attribute; d) comparing said community-specified value for said common demographic attribute to a customer value associated with the potential customer for said common demographic attribute; and e) adding the trait qualifier weight to the trait qualifier score of the senior persona score if the customer value for said common demographic attribute is equal to the community-specified value for the common demographic attribute; and f) transmitting the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
6 . The process of claim 5 , further comprising:
a) calculating a value density for the community-specified value for the common demographic attribute; b) receiving on the lead generating system a rule for modifying the trait qualifier based on the value density calculation; and c) modifying the trait qualifier in accordance with the rule.
7 . The process of claim 6 , further comprising receiving the rule from the senior living community via the data communications link.
8 . The process of claim 3 , further comprising:
a) calculating a senior persona score for the potential customer, the senior persona score including an event qualifier score; b) receiving from the senior living community, via the data communications link, an event qualifier for a senior event, the senior event qualifier comprising a community-specified value for the senior event; c) receiving an event qualifier weight assigned to said community-specified value for said senior event; d) comparing said community-specified value for said community demographic attribute to a customer value associated with the potential customer for said senior event; and e) adding the event qualifier weight to the event qualifier score of the senior persona score if the customer value for said senior event is equal to the community-specified value for the senior event; and f) transmitting the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
9 . The process of claim 3 , further comprising:
a) calculating a senior persona score for the potential customer, the senior persona score comprising the sum of a demographic qualifier score, a trait qualifier score and an event qualifier score; b) receiving from the senior living community, via the data communications link, a demographic qualifier for a senior demographic attribute, the demographic qualifier comprising a community-specified value for the senior demographic attribute and a demographic qualifier weight assigned to said community-specified value for said senior demographic attribute; c) receiving from the senior living community, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a community-specified value for the common demographic attribute; d) receiving a trait qualifier weight assigned to said community-specified value for said common demographic attribute; e) receiving from the senior living community, via the data communications link, an event qualifier for a senior event, the event qualifier comprising a community-specified value for the senior event; f) receiving an event qualifier weight assigned to said community-specified value for said senior event; g) comparing said community-specified value for said first community demographic attribute to a customer value associated with the potential customer for said first community demographic attribute; h) adding the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said senior demographic attribute is equal to the community-specified value for the senior demographic attribute. i) comparing said community-specified value for said common demographic attribute to a customer value associated with the potential customer for said common demographic attribute; and j) adding the trait qualifier weight to the trait qualifier score of senior persona score if the customer value for said common demographic attribute is equal to the community-specified value for the common demographic attribute; k) comparing said community-specified value for said senior event to a customer value associated with the potential customer for said senior event; l) adding the event qualifier weight to the event qualifier score of the senior persona score if the customer value for said senior event is equal to the community-specified value for the senior event; and m) transmitting the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
10 . The process of claim 9 , further comprising:
a) creating a second potential customer record in the leads dataset, the second potential customer record comprising the customer demographic attributes for a second potential customer and the senior care type; b) calculating a second senior persona score for the second potential customer by summing together a demographic qualifier score for the second potential customer, a trait qualifier score for the second potential customer and an event qualifier score for the second potential customer; c) rank ordering the potential customer and the second potential customer in accordance with the senior persona score and the second senior persona score; and d) displaying the potential customer record and the second potential customer record on a display device accessible by the senior living community in accordance with the rank ordering.
11 . The process of claim 3 , further comprising:
a) creating a children dataset on the lead generating system by monitoring the demographic data source to identify and store children of the seniors in the target population and children demographic attributes associated with said children; b) on the lead generating system, cross-referencing the senior demographic attributes and the children demographic attributes to identify a senior-child relationship match between the senior in the senior population dataset and a child in the children dataset; and c) adding the senior-child relationship match to the potential customer record in the leads dataset.
12 . The process of claim 11 , wherein the early indicator is detected based on an action of the child.
13 . A process for identifying potential customers for senior living communities using a lead generating system, the process comprising:
a) creating a leads dataset on the lead generating system; b) creating a senior dataset on the lead generating system by monitoring a demographic data source to identify and store seniors in a target area and senior demographic attributes associated with the seniors in the target area; c) creating a community dataset on the lead generating system by monitoring a community data source to identify and store a plurality of senior living communities in the target area and community demographic attributes associated with the plurality of senior living communities in the target area; d) cross-referencing the senior demographic attributes with the community demographic attributes to determine which seniors in the target area residents of one of the plurality of senior living communities in the target area, which seniors in the target area are not residents of one of the plurality of senior living communities, the actual move-in dates for the residents of the plurality of senior living communities, and early indicators of senior care need associated with the residents of the plurality of senior living communities; e) monitoring an early indicator data source to detect and store in the leads dataset an early indicator of senior care need by a non-resident senior in the target area, a senior care type for the non-resident senior, and customer demographic attributes for the non-resident senior; f) on the lead generating system, comparing the early indicators of senior care need for the non-resident senior to the early indicators of senior care need for the resident seniors to generate an estimated future move-in date for the non-resident senior; g) on the lead generating system, comparing the customer demographic attributes for the non-resident senior to the community demographic attributes for a senior living community to establish a match between a non-resident senior and the senior living community; h) creating a potential customer record in the leads dataset for the non-resident senior, the potential customer record comprising the senior care type, the customer demographic attributes, and the estimated future move-in date for the non-resident senior; i) establishing a data communications link to a display device controlled by the senior living community; and j) transmitting at least a portion of the potential customer record in the leads dataset from the lead generating system to the display device controlled by the senior living community via the data communications link.
14 . The process of claim 13 , further comprising:
a) calculating a senior persona score for the non-resident senior, the senior persona score including a demographic qualifier score; b) receiving from the senior living community, via the data communications link, a demographic qualifier for a senior demographic attribute, the demographic qualifier comprising a community-specified value for the senior demographic attribute; c) receiving a demographic qualifier weight assigned to said community-specified value for said senior demographic attribute; d) comparing said community-specified value for said senior demographic attribute to a customer value associated with the non-resident senior for said senior demographic attribute; e) adding the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said senior demographic attribute is equal to the community-specified value for the senior demographic attribute; and f) transmitting the senior persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.
15 . The process of claim 14 , further comprising:
a) calculating a senior persona score for the non-resident senior, the senior persona score including a trait qualifier score; b) receiving from the senior living community, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a community-specified value for the common demographic attribute; c) receiving a trait qualifier weight assigned to said community-specified value for said common demographic attribute; d) comparing said community-specified value for said common demographic attribute to a customer value associated with the non-resident senior for said common demographic attribute; and e) adding the trait qualifier weight to the trait qualifier score of senior persona score if the customer value for said common demographic attribute is equal to the community-specified value for the common demographic attribute; and f) transmitting the senior persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.
16 . The process of claim 15 , further comprising:
a) calculating a value density for the community-specified value for the common demographic attribute; b) storing on the lead generating system a rule for modifying the trait qualifier based on the value density calculation; c) modifying the trait qualifier in accordance with the rule.
17 . The process of claim 16 , further comprising receiving the rule from the senior living community via the data communications link.
18 . The process of claim 13 , further comprising:
a) calculating a senior persona score for the non-resident senior, the senior persona score including an event qualifier score; b) receiving from the senior living community, via the data communications link, an event qualifier, the event qualifier comprising a community-specified value for the senior event; c) receiving an event qualifier weight assigned to said community-specified value for said senior event; d) comparing said community-specified value for said event attribute to a customer value associated with the non-resident senior for said event attribute; and e) adding the event qualifier weight to the event qualifier score of the senior persona score if the customer value for said event attribute is equal to the community-specified value for the event attribute; and f) transmitting the senior persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.
19 . A process for calculating senior persona scores for non-resident seniors for a senior living community using a computer system, the process comprising:
a) creating a senior dataset on the computer system, the senior dataset comprising senior demographic attributes, including names and addresses, for seniors in a target population; b) creating a community dataset on the computer system, the community dataset comprising a community address, a set of common demographic attributes for the seniors who live in the senior living community, a set of operator-specified values for the set of common demographic attributes, and a set of weight rules associated with the set of operator-specified values, respectively; c) generating a trait qualifier for every operator-specified value for every common demographic attribute in the set of common demographic attributes by calculating a value density for said every operator-specified value and applying the weight rule based on said value density; d) cross-referencing the names and addresses of the seniors in the senior dataset with the community address in the community dataset to identify a non-resident senior for the senior living community; e) using the senior demographic attributes from the senior dataset to determine the non-resident senior's value for every common demographic attribute in the set of common demographic attributes; f) comparing the non-resident senior's value to the operator-specified value for each common demographic attribute in the set of common demographic attributes; and g) adding the trait qualifier for the operator-specified value to the senior persona score for the non-resident senior if the non-resident senior's value for a common demographic attribute is equal to the operator-specified value for said common demographic attribute.
20 . The process of claim 19 , wherein calculating the value density for every operator-specified value for every common demographic attribute comprises:
a) selecting a common demographic attribute from the set of common demographic attributes; b) determining the set of all possible values for the common demographic attribute; and c) for each possible value in the set of all possible values, dividing the number of seniors living in the senior living community who have said possible value for the common demographic attribute by the total number of seniors living in the senior living community.
21 . The process of claim 19 , wherein generating the trait qualifier comprises multiplying the value density by a specified weight.
22 . The process of claim 19 , wherein generating the trait qualifier comprises using a first number as the trait qualifier if the magnitude of the value density is greater than a specified percentage, and using a different number for the trait qualifier if the magnitude of the value density is less than or equal to the specified percentage.
23 . The process of claim 19 , further comprising:
a) creating a leads dataset on the computer system; b) storing the senior persona score of the non-resident senior in the leads dataset; a) establishing a data communications link to a display device controlled by the senior living community; and b) transmitting the senior persona score for the non-resident senior to the display device via the data communications link.
24 . A customer lead generating system for senior living communities, comprising:
a) a leads dataset; b) a community dataset for storing a senior care type, a plurality of senior living communities that provide said senior care type, and community demographic attributes associated with the plurality of senior living communities; c) a data collector that retrieves early indicator data from an early indicator data source; d) an event processor that processes the early indicator data to detect an early indicator for the senior care type, a potential customer for the senior care type, and customer demographic attributes for the potential customer; e) a senior to community matching engine that (i) compares the customer demographic attributes to the community demographic attributes for a senior living community in the community dataset to establish a match between the potential customer and the senior living community, and (ii) creates a potential customer record in the leads dataset, the potential customer record comprising the customer demographic attributes for the potential customer and the senior care type; f) a data communications link to a computer system controlled by the senior living community; and g) a web server that transmits at least a portion of the potential customer record in the leads dataset from the customer lead generating system to the computer system controlled by the senior living community via the data communications link.
25 . The customer lead generating system of claim 24 , wherein the event processor detects the early indicator based on an action of the potential customer.
26 . The customer lead generating system of claim 24 , further comprising:
a) a senior dataset for storing seniors in a target population and senior demographic attributes associated with said seniors in the target population; and b) a children to senior matching engine that (i) compares the customer demographic attributes for the potential customer to the senior demographic attributes for a senior in the senior dataset to establish a second match between the potential customer and the senior in the senior dataset, (ii) adds the customer demographic attributes to the senior demographic attributes in the senior dataset, and (iii) adds the second match and the senior demographic attributes for the matched senior in the senior dataset to the potential customer record in the leads dataset.
27 . The customer lead generating system of claim 26 , further comprising a persona score calculator that:
a) calculates a senior persona score for the potential customer, the senior persona score including a demographic qualifier score; b) receives from the senior living community, via the data communications link, a demographic qualifier for a senior demographic attribute, the demographic qualifier comprising a community-specified value for the senior demographic attribute; c) receives a demographic qualifier weight assigned to said community-specified value for said senior demographic attribute; d) compares said community-specified value for said senior demographic attribute to a customer value associated with the potential customer for said senior demographic attribute; e) adds the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said senior demographic attribute is equal to the community-specified value for the senior demographic attribute; and f) transmits the senior persona score for the potential customer to the computer controlled by the senior living community via the data communications link.
28 . The customer lead generating system of claim 24 , further comprising a persona score calculator that:
a) calculates a senior persona score for the potential customer, the senior persona score including a trait qualifier score; b) receives from the senior living community, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a community-specified value for the common demographic attribute; c) receives a trait qualifier weight assigned to said community-specified value for said common demographic attribute; d) compares said community-specified value for said common demographic attribute to a customer value associated with the potential customer for said common demographic attribute; and e) adds the trait qualifier weight to the trait qualifier score of senior persona score if the customer value for said common demographic attribute is equal to the community-specified value for the common demographic attribute; and f) transmits the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
29 . The customer lead generating system of claim 28 , wherein the persona score calculator:
a) calculates a value density for the community-specified value for the common demographic attribute; b) retrieves from the community dataset a rule for modifying the trait qualifier based on the value density calculation; and c) modifies the trait qualifier in accordance with the rule.
30 . The customer lead generating system of claim 29 , wherein the web server receives the rule from the senior living community via the data communications link and stores the rule in the community dataset.
31 . The customer lead generating system of claim 24 , further comprising a persona score calculator that:
a) calculates a senior persona score for the potential customer, the senior persona score including an event qualifier score; b) receives from the senior living community, via the data communications link, an event qualifier for a community demographic attribute, the event qualifier comprising a community-specified value for the senior event; c) receives an event qualifier weight assigned to said community-specified value for said senior event; d) compares said community-specified value for said community demographic attribute to a customer value associated with the potential customer for said community demographic attribute; and e) adds the event qualifier weight to the event qualifier score of the senior persona score if the customer value for said senior event is equal to the community-specified value for the senior event; and f) transmits the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
32 . The customer lead generating system of claim 24 , further comprising a persona score calculator that:
a) calculates a senior persona score for the potential customer, the senior persona score comprising the sum of a demographic qualifier score, a trait qualifier score and an event qualifier score; b) receives from the senior living community, via the data communications link, a demographic qualifier for a senior demographic attribute, the demographic qualifier comprising a community-specified value for the senior demographic attribute; c) receives a demographic qualifier weight assigned to said community-specified value for said senior demographic attribute; d) receives from the senior living community, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a community-specified value for the common demographic attribute; e) receives a trait qualifier weight assigned to said community-specified value for said common demographic attribute; f) receives from the senior living community, via the data communications link, an event qualifier for a senior event, the event qualifier comprising a community-specified value for the senior event; g) receives an event qualifier weight assigned to said community-specified value for said senior event; h) compares said community-specified value for said senior demographic attribute to a customer value associated with the potential customer for said senior demographic attribute; i) adds the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said senior demographic attribute is equal to the community-specified value for the first community demographic attribute. j) compares said community-specified value for said common demographic attribute to a customer value associated with the potential customer for said common demographic attribute; and k) adds the trait qualifier weight to the trait qualifier score of senior persona score if the customer value for said common demographic attribute is equal to the community-specified value for the common demographic attribute; l) compares said community-specified value for said senior event to a customer value associated with the potential customer for said senior event; m) adds the event qualifier weight to the event qualifier score of the senior persona score if the customer value for said senior event is equal to the community-specified value for the senior event; and n) transmits the senior persona score for the potential customer to the display device controlled by the senior living community via the data communications link.
33 . The customer lead generating system of claim 31 , wherein:
a) the senior community matching engine creates a second potential customer record in the leads dataset, the second potential customer record comprising the customer demographic attributes for a second potential customer and the senior care type; b) the persona score calculator calculates a second senior persona score for the second potential customer by summing together a demographic qualifier score for the second potential customer, a trait qualifier score for the second potential customer and an event qualifier score for the second potential customer; c) the persona score calculator rank orders the potential customer and the second potential customer in accordance with the senior persona score and the second senior persona score; and d) the persona score calculator transmits the potential customer record and the second potential customer record to a display device controlled by the senior living community in accordance with the rank ordering.
34 . The customer lead generating system of claim 26 , further comprising:
a) a children dataset that stores children of the seniors in the target population and children demographic attributes associated with said children; and b) a children to senior matching engine that (i) cross-references the senior demographic attributes and the children demographic attributes to identify a senior-child relationship match between the senior in the senior population dataset and a child in the children dataset, and (ii) adds the senior-child relationship match to the potential customer record in the leads dataset.
35 . The customer lead generating system of claim 34 , wherein the event processor detects the early indicator based on an action of the child.
36 . A computer system for calculating and displaying senior persona scores for non-resident seniors for a senior living community, comprising:
a) a microprocessor; b) a data collector module comprising programing instructions that, when executed by the microprocessor, causes the microprocessor to monitor an external data source for events associated with seniors and senior living communities; c) an event processor module comprising programming instructions that, when executed by the microprocessor, causes the microprocessor to (i) create a senior dataset, the senior dataset comprising senior demographic attributes, including names and addresses, for seniors in a target population, and (ii) create a community dataset, the community dataset comprising a community address, a set of common demographic attributes for the seniors who live in the senior living community, a set of operator-specified values for the set of common demographic attributes, and a set of weight rules associated with the set of operator-specified values, respectively; d) a scoring module comprising programming instructions that, when executed by the microprocessor, causes the microprocessor to
(i) generate a trait qualifier for every operator-specified value for every common demographic attribute in the set of common demographic attributes by calculating a value density for said every operator-specified value and applying the weight rule based on said value density;
(ii) cross-reference the names and addresses of the seniors in the senior dataset with the community address in the community dataset to identify a non-resident senior for the senior living community;
(iii) use the senior demographic attributes from the senior dataset to determine the non-resident senior's value for every common demographic attribute in the set of common demographic attributes;
(iv) compare the non-resident senior's value to the operator-specified value for each common demographic attribute in the set of common demographic attributes; and
(v) add the trait qualifier for the operator-specified value to the senior persona score for the non-resident senior if the non-resident senior's value for a common demographic attribute is equal to the operator-specified value for said common demographic attribute.
37 . The computer system of claim 36 , wherein the scoring module comprise programming instructions that, when executed by the microprocessor, causes the microprocessor to calculate the value density for every operator-specified value for every common demographic attribute by:
a) selecting a common demographic attribute from the set of common demographic attributes; b) determining the set of all possible values for the common demographic attribute; and c) for each possible value in the set of all possible values, dividing the number of seniors living in the senior living community who have said possible value for the common demographic attribute by the total number of seniors living in the senior living community.
38 . The computer system of claim 36 , wherein the scoring module generates the trait qualifier comprises multiplying the value density by a specified weight.
39 . The computer system of claim 36 , wherein the scoring module generates the trait qualifier by using a first number as the trait qualifier if the magnitude of the value density is greater than a specified percentage, and using a different number for the trait qualifier if the magnitude of the value density is less than or equal to the specified percentage.
40 . The computer system of claim 36 , further comprising:
a) a leads dataset for storing the senior persona score of the non-resident senior; and b) a data communications link configured to transmit the senior persona score for the non-resident senior to a display device controlled by the senior living community.
41 . A process for identifying potential job applicants for senior living communities using a lead generating system, the process comprising:
a) creating a leads dataset on the lead generating system; b) creating a community dataset on the lead generating system by monitoring a community data source to identify and store a senior care type, a plurality of senior living communities that provide said senior care type, and community attributes associated with the plurality of senior living communities; c) monitoring an external data source to detect a potential job applicant for a senior care type, applicant demographic attributes and applicant events for the potential job applicant; d) on the lead generating system, comparing the applicant demographic attributes to the community attributes for a senior living community in the community dataset to establish a match between the potential job applicant and the senior living community; e) creating a potential job applicant record in the leads dataset, the potential job applicant record comprising the applicant demographic attributes for the potential job applicant, the applicant events and the senior care type; f) establishing a data communications link to a display device controlled by the senior living community; and g) transmitting at least a portion of the potential job applicant record in the leads dataset from the lead generating system to the display device controlled by the senior living community via the data communications link.
42 . The process of claim 41 , wherein the external data source comprises one or more of:
a) a job searching database; b) a job posting database; c) a social networking website; d) a college or university database; e) a healthcare organization website; f) a professional organization membership database; and g) a professional services database.
43 . The process of claim 41 , further comprising:
a) creating a staffer dataset on the lead generating system by monitoring a demographic data source to identify and store staffers in a target population, staffer events associated with said staffers in the target population, and staff demographic attributes associated with said staffers in the target population; b) on the lead generating system, comparing the applicant demographic attributes for the potential job applicant to the staffer demographic attributes for a staffer in the staffer dataset to establish a second match between the potential job applicant and the staffer in the senior dataset; c) adding the applicant demographic attributes for the potential applicant to the staffer demographic attributes in the staffer dataset; and d) adding the second match and the staffer demographic attributes for the matched staffer in the staffer dataset to the potential job applicant record in the leads dataset.
44 . The process of claim 41 , further comprising:
a) calculating an applicant persona score for the potential job applicant, the applicant persona score including a demographic qualifier score; b) receiving from the senior living community, via the data communications link, a demographic qualifier for an applicant demographic attribute, the demographic qualifier comprising a community-specified value for the applicant demographic attribute; c) receiving a demographic qualifier weight assigned to said community-specified value for said applicant demographic attribute; d) comparing said community-specified value for said applicant demographic attribute to an applicant value associated with the potential job applicant for said applicant demographic attribute; e) adding the demographic qualifier weight to the demographic qualifier score of the applicant persona score if the applicant value for said applicant demographic attribute is equal to the community-specified value for the applicant demographic attribute; and f) transmitting the applicant persona score for the potential job applicant to the display device controlled by the senior living community via the data communications link.
45 . The process of claim 41 , further comprising:
a) calculating an applicant persona score for the potential job applicant, the applicant persona score including an event qualifier score; b) receiving from the senior living community, via the data communications link, an event qualifier for an applicant event, the event qualifier comprising a community-specified value for the applicant event; c) receives an event qualifier weight assigned to said community-specified value for said applicant event; d) comparing said community-specified value for said applicant event to an applicant value associated with the potential job applicant for said applicant event; and e) adding the event qualifier weight to the event qualifier score of the applicant persona score if the applicant value for said applicant event is equal to the community-specified value for the applicant event; and f) transmitting the applicant persona score for the potential job applicant to the display device controlled by the senior living community via the data communications link.
46 . A lead generating system for identifying potential job applicants for senior living communities, comprising:
a) a leads dataset; b) a data collector that monitors an external data source for data associated with senior living communities and potential job applicants for senior living communities; c) a community dataset for storing a senior care type, a plurality of senior living communities that provide said senior care type, and community attributes associated with the plurality of senior living communities; d) an event processor that detects a potential job applicant for a senior care type, and applicant demographic attributes for the potential job applicant; e) a staffer to community matching engine that (i) compares the applicant demographic attributes to the community attributes for a senior living community in the community dataset to establish a match between the potential job applicant and the senior living community, and (ii) creates a potential job applicant record in the leads dataset, the potential job applicant record comprising the applicant demographic attributes for the potential job applicant and the senior care type; f) a data communications link to the senior living community; and g) a web server that transmits at least a portion of the potential job applicant record in the leads dataset from the lead generating system to the display device controlled by the senior living community via the data communications link.
47 . The lead generation system of claim 46 , wherein the external data source comprises one or more of:
a) a job searching database; b) a job posting database; c) a social networking website; d) a college or university database; e) a healthcare organization website; f) a professional organization membership database; and g) a professional services database.
48 . The lead generating system of claim 46 , further comprising:
a) a staffer dataset for storing staffers in a target population, staffer demographic attributes associated with said staffers in the target population, and staff events associated with said staffers in the target population; b) an applicant to staffer matching engine that (i) compares the applicant demographic attributes for the potential job applicant to the staffer demographic attributes for a staffer in the staffer dataset to establish a second match between the potential job applicant and the staffer in the staffer dataset, (ii) adds the applicant demographic attributes for the potential applicant to the staffer demographic attributes in the staffer dataset, and (iii) adds the second match and the staffer demographic attributes for the matched staffer in the staffer dataset to the potential job applicant record in the leads dataset.
49 . The lead generating system of claim 46 , further comprising an applicant persona scorer that:
a) calculates an applicant persona score for the potential job applicant, the applicant persona score including a demographic qualifier score; b) receives from the senior living community, via the data communications link, a demographic qualifier for a staffer demographic attribute, the demographic qualifier comprising a community-specified value for the staffer demographic attribute; c) receives a demographic qualifier weight assigned to said community-specified value for said staffer demographic attribute; d) compares said community-specified value for said staffer demographic attribute to an applicant value associated with the potential job applicant for said staffer demographic attribute; e) adds the demographic qualifier weight to the demographic qualifier score of the applicant persona score if the applicant value for said staffer demographic attribute is equal to the community-specified value for the staffer demographic attribute; and f) transmits the applicant persona score for the potential job applicant to the display device controlled by the senior living community via the data communications link.
50 . The lead generation system of claim 46 , further comprising an applicant persona scorer that:
a) calculates an applicant persona score for the potential job applicant, the applicant persona score including an event qualifier score; b) receives from the senior living community, via the data communications link, an event qualifier for a staffer event, the event qualifier comprising a community-specified value for the staffer event; c) receives an event qualifier weight assigned to said community-specified value for said staffer event; d) compares said community-specified value for said staffer event to an applicant value associated with the potential job applicant for said staffer event; and e) adds the event qualifier weight to the event qualifier score of the applicant persona score if the applicant value for said staffer event is equal to the community-specified value for the staffer event; and f) transmits the applicant persona score for the potential job applicant to the display device controlled by the senior living community via the data communications link.
51 . A process for identifying potential communities for a senior care seeker using a lead generating system, the process comprising:
a) creating a leads dataset on the lead generating system; b) creating a senior care seeker dataset on the lead generating system, the senior care seeker dataset comprising a senior care type and senior care seeker demographic attributes for the senior care seeker; c) creating a community dataset on the lead generating system by monitoring a community data source to identify and store a plurality of senior living communities in the target area, community demographic attributes associated with the plurality of senior living communities in the target area, and community events associated with the plurality of senior living communities in the target area; d) on the lead generating system, comparing the senior care seeker demographic attributes to the community demographic attributes for the plurality of senior living communities in the community dataset to establish a match between the senior care seeker, the senor care type and a potential community; e) creating a potential community record in the leads dataset, the potential community record comprising the community demographic attributes for the potential community and the senior care type; f) establishing a data communications link to a display device controlled by the senior care seeker; and g) transmitting at least a portion of the potential community record in the leads dataset from the lead generating system to the display device controlled by the senior care seeker via the data communications link.
52 . The process of claim 51 , further comprising:
a) calculating a community persona score for the potential community, the community persona score including a demographic qualifier score; b) receiving from the senior care seeker, via the data communications link, a demographic qualifier for a community demographic attribute, the demographic qualifier comprising a senior care seeker-specified value for the community demographic attribute; c) receiving a demographic qualifier weight assigned to said senior care seeker-specified value for said community demographic attribute; d) comparing said senior care seeker-specified value for said community demographic attribute to a community value associated with the potential community for said community demographic attribute; e) adding the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said community demographic attribute is equal to the community-specified value for the community demographic attribute; and f) transmitting the community persona score for the potential community to the computer system controlled by the senior care seeker via the data communications link.
53 . The process of claim 51 , further comprising:
a) calculating a community persona score for the potential community, the community persona score including a trait qualifier score; b) receiving from the senior care seeker, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a senior care seeker-specified value for the common demographic attribute; c) receiving a trait qualifier weight assigned to said senior care seeker-specified value for said common demographic attribute; d) comparing said senior care seeker-specified value for said common demographic attribute to a community value associated with the potential community for said common demographic attribute; and e) adding the trait qualifier weight to the trait qualifier score of the community persona score if the community value for said common demographic attribute is equal to the senior care seeker-specified value for the common demographic attribute; and f) transmitting the community persona score for the potential community to the computer system controlled by the senior care seeker via the data communications link.
54 . The process of claim 53 , further comprising:
a) calculating a value density for the senior care seeker-specified value for the common demographic attribute; b) receiving on the lead generating system a rule for modifying the trait qualifier based on the value density calculation; and c) modifying the trait qualifier in accordance with the rule.
55 . The process of claim 54 , further comprising receiving the rule from the computer system controlled by the senior care seeker via the data communications link.
56 . The process of claim 51 , further comprising:
a) calculating a community persona score for the potential community, the community persona score including an event qualifier score; b) receiving from the senior care seeker, via the data communications link, an event qualifier for a community event, the event qualifier comprising a senior care seeker-specified value for the community event c) receiving an event qualifier weight assigned to said senior care seeker-specified value for said community event; d) comparing said senior care seeker-specified value for said community event to a community value associated with the potential community for said community event; and e) adding the event qualifier weight to the event qualifier score of the community persona score if the community value for said community event is equal to the senior care seeker-specified value for the community event; and f) transmitting the community persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.
57 . A lead generating system for identifying potential communities for a senior care seeker comprising:
a) a leads dataset; b) a senior care seeker dataset that stores a senior care type and senior care seeker demographic attributes for the senior care seeker; c) a data collector monitors a community data source to identify and store a plurality of senior living communities in the target area, community demographic attributes associated with the plurality of senior living communities in the target area, and community events associated with the plurality of senior living communities in the target area; d) a senior to community matching engine that (i) compares the senior care seeker demographic attributes to the community demographic attributes for the plurality of senior living communities in the community dataset to establish a match between the senior care seeker, the senor care type and a potential community, and (iii) creates a potential community record in the leads dataset, the potential community record comprising the community demographic attributes for the potential community and the senior care type; e) a data communications link to a display device controlled by the senior care seeker; and f) a web server that transmits at least a portion of the potential community record in the leads dataset from the lead generating system to the display device controlled by the senior care seeker via the data communications link.
58 . The lead generating system of claim 57 , further comprising a persona score calculator that:
a) calculates a community persona score for the potential community, the community persona score including a demographic qualifier score; b) receives from the senior care seeker, via the data communications link, a demographic qualifier for a community demographic attribute, the demographic qualifier comprising a senior care seeker-specified value for the community demographic attribute; c) receives a demographic qualifier weight assigned to said senior care seeker-specified value for said community demographic attribute; d) compares said senior care seeker-specified value for said community demographic attribute to a community value associated with the potential community for said community demographic attribute; e) adds the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said community demographic attribute is equal to the community-specified value for the community demographic attribute; and f) transmits the community persona score for the potential community to the computer system controlled by the senior care seeker via the data communications link.
59 . The lead generating system of claim 57 , further comprising a persona score calculator that:
a) calculates a community persona score for the potential community, the community persona score including a trait qualifier score; b) receives from the senior care seeker, via the data communications link, a trait qualifier for a common demographic attribute of the senior living community, the trait qualifier comprising a senior care seeker-specified value for the common demographic attribute; c) receives a trait qualifier weight assigned to said senior care seeker-specified value for said common demographic attribute; d) compares said senior care seeker-specified value for said common demographic attribute to a community value associated with the potential community for said common demographic attribute; and e) adds the trait qualifier weight to the trait qualifier score of the community persona score if the community value for said common demographic attribute is equal to the senior care seeker-specified value for the common demographic attribute; and f) transmits the community persona score for the potential community to the computer system controlled by the senior care seeker via the data communications link.
60 . The lead generating system of claim 59 , further comprising a persona score calculator that:
a) calculates a value density for the senior care seeker-specified value for the common demographic attribute; b) receives a rule for modifying the trait qualifier based on the value density calculation; and c) modifies the trait qualifier in accordance with the rule.
61 . The process of claim 60 , further comprising receiving the rule from the computer system controlled by the senior care seeker via the data communications link.
62 . The lead generating system of claim 57 , further comprising a persona score calculator that:
a) calculates a community persona score for the potential community, the community persona score including an event qualifier score; b) receives from the senior care seeker, via the data communications link, an event qualifier for a community event, the event qualifier comprising a senior care seeker-specified value for the community event; c) receives an event qualifier weight assigned to said senior care seeker-specified value for said community event; d) compares said senior care seeker-specified value for said community event to a community value associated with the potential community for said community event; and e) adds the event qualifier weight to the event qualifier score of the community persona score if the community value for said community event is equal to the senior care seeker-specified value for the community event; and f) transmits the community persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.
63 . A process for identifying potential communities for a staffer using a lead generating system, the process comprising:
a) creating a leads dataset on the lead generating system; b) creating a staffer dataset on the lead generating system, the staffer dataset comprising a senior care type and staffer demographic attributes for the staffer; c) creating a community dataset on the lead generating system by monitoring a community data source to identify and store a plurality of senior living communities in the target area, community demographic attributes associated with the plurality of senior living communities in the target area, and community events associated with the plurality of senior living communities in the target area; d) on the lead generating system, comparing the staffer demographic attributes to the community demographic attributes for the plurality of senior living communities in the community dataset to establish a match between the staffer, the senor care type and a potential community; e) creating a potential community record in the leads dataset, the potential community record comprising the community demographic attributes for the potential community and the senior care type; f) establishing a data communications link to a display device controlled by the staffer; and g) transmitting at least a portion of the potential community record in the leads dataset from the lead generating system to the display device controlled by the staffer via the data communications link.
64 . The process of claim 63 , further comprising:
a) calculating a community persona score for the potential community, the community persona score including a demographic qualifier score; b) receiving from the staffer, via the data communications link, a demographic qualifier for a community demographic attribute, the demographic qualifier comprising a staffer-specified value for the community demographic attribute; c) receiving a demographic qualifier weight assigned to said staffer-specified value for said community demographic attribute; d) comparing said staffer-specified value for said community demographic attribute to a community value associated with the potential community for said community demographic attribute; e) adding the demographic qualifier weight to the demographic qualifier score of the senior persona score if the customer value for said community demographic attribute is equal to the community-specified value for the community demographic attribute; and f) transmitting the community persona score for the potential community to the computer system controlled by the staffer via the data communications link.
65 . The process of claim 63 , further comprising:
a) calculating a community persona score for the potential community, the community persona score including an event qualifier score; b) receiving from the staffer, via the data communications link, an event qualifier for a community event, the event qualifier comprising a staffer-specified value for the community event; c) receiving an event qualifier weight assigned to said staffer-specified value for said community event; d) comparing said staffer-specified value for said community event to a community value associated with the potential community for said community event; and e) adding the event qualifier weight to the event qualifier score of the community persona score if the community value for said community event is equal to the staffer-specified value for the community event; and f) transmitting the community persona score for the non-resident senior to the display device controlled by the senior living community via the data communications link.Join the waitlist — get patent alerts
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